Long-term Prediction of the Gulf Stream Meander Using a Principled Neural Operator-based Digital Twin.

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dc.contributor.advisorRuoying He, Chair
dc.contributor.advisorGary Lackmann, Member
dc.contributor.advisorAshesh Chattopadhyay, External
dc.contributor.advisorElisabeth Brown, Member
dc.contributor.authorGray, Michael Alexander
dc.date.accepted2024-04-09
dc.date.accessioned2024-04-13T12:30:31Z
dc.date.available2024-04-13T12:30:31Z
dc.date.defense2023-11-03
dc.date.issued2023-11-03
dc.date.released2024-04-13
dc.date.reviewed2024-01-16
dc.date.submitted2024-01-06
dc.degree.disciplineMarine, Earth & Atmos Sciences
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.identifier.otherdeg36305
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41754
dc.titleLong-term Prediction of the Gulf Stream Meander Using a Principled Neural Operator-based Digital Twin.

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